Lost Time Trends Report
This report calculates the average number of employees that are absent due to disability in any given month and it is used by managers to assess the impact of lost time. Companies concerned with the overall impact of lost time on their organizations can quickly identify the 'costs' associated with employee absence. Tracking this metric over time allows users to quickly identify improvement, or deterioration, in the lost time experience of their organization. This information is particularly useful when evaluating the impact of new employee programs.
Data details — what's in? What's out?
This section provides information which is specific to the lost time trends report. Please refer to the information in the Understanding the data details section for general information on the details for all reports, including Marked up in Error (MUERR) claims and data processing delays.
- Analytical report — tab 1 is a graph of the monthly average number of employees out on STD; tab 2 provides data detail supporting the graph.
- The Full Time Employee Equivalent (FTE) is derived by taking the number of calendar days lost that month due to disability (disability date to paid through date) and dividing it by the number of calendar days in the month.
- The user chooses to breakout detail by division (select "Yes") or policy level (select No).
- When choosing breakout by division, the user can only run one policy at a time. Additionally, a 10 division limit exists for the sake of reasonable run times and restrictive stress on the database.
- The majority of pregnancy claims are filed with a diagnostic code of 650 or V22. For this reason, when the category is exclude maternity, only these two diagnostic codes are excluded.
- Non-compensable claims are excluded.
- Data is updated daily, but there is a 2 day data processing delay.
- This information is for STD claims only. The user can select either fully-insured or self-insured STD information for the report OR the user can select both fully-insured and self-insured STD information in a single report which reflects the combined STD experience.
- The user does not select the review period. Based on the date that the user runs the report, the report reflects 24 rolling months of information.
How can I use this information?
One easy way to look at how this information is relevant to your business is to translate the average full time equivalent to something meaningful to your company. For example, if you work in a hospital and there is an average of 30 employees out due to disability, how many of those employees are nurses and how many beds may be empty because of the decreased staff?
Additionally, this information is useful when used with other reports. Here are some questions to help guide the way to the right report:
- Is claim submission lag time a factor in lost time?
- How does the claim experience at my company compare with my peers?
- Would instituting a health program, which is specific to a particular diagnosis that is contributing significantly to lost work time, help reduce costs? (If the average daily full time equivalent out on STD is 30, multiply that number by the average salary for individuals to determine the expense for having these employees out of work.)
For more ideas on how to use this information, refer to the section titled Interpreting the reports.